Senior Python Engineer - AI Coding Agent Evaluation Freelance

Mindrift; Chennai District; On-site; INR 7,910,000 - 13,183,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. You will build realistic developer environments, design tasks, and write tests for AI agents in a project-based setting.

Applicants should have 8+ years in software development, expertise in Python (FastAPI), JS/TS (React), Docker, Postgres, Kafka, Redis, and experience writing functional and integration tests, with English proficiency at B2+.

Qualifications

• ,

Responsibilities

• Build realistic developer environments – a virtual company with codebase, infrastructure, and context that forms a believable development history.
• Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
• Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
• Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

Skills

8+ years

Python FastAPI

JavaScript TypeScript React

Docker

Postgres

Kafka

Redis

Testing (functional, integration)

English (B2+)

Tools

Docker

Postgres

Kafka

Redis

Job description

Job Description:

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves:
Were building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.

Youll create challenging tasks and evaluation criteria within realistic simulated environments:

• Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
• Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
• Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
• Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

What this is NOT:

• Not data labeling
• Not prompt engineering
• Not writing code from scratch - the agent writes most of the code; you guide and evaluate

What we look for:

• 8+ years in software development
• Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
• Experience writing tests (functional, integration)
• English proficiency - B2+

Why this is hard:
Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.

How it works

• Apply
• Pass qualification(s)
• Join a project
• Complete tasks
• Get paidEffort estimate

Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation:
Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $100/hr. Because payment is per task, a faster pace raises your effective hourly rate.

Requirements: